| 2021 | A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized. Benjamin Cedric Larsen |
| 2021 | A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness. Mohammad Yaghini, Andreas Krause, Hoda Heidari |
| 2021 | A Multi-Agent Approach to Combine Reasoning and Learning for an Ethical Behavior. Rémy Chaput, Jérémy Duval, Olivier Boissier, Mathieu Guillermin, Salima Hassas |
| 2021 | A Step Toward More Inclusive People Annotations for Fairness. Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, Caroline Pantofaru |
| 2021 | AI Alignment and Human Reward. Patrick Butlin |
| 2021 | AI and Shared Prosperity. Katya Klinova, Anton Korinek |
| 2021 | AIES '21: AAAI/ACM Conference on AI, Ethics, and Society, Virtual Event, USA, May 19-21, 2021 Marion Fourcade, Benjamin Kuipers, Seth Lazar, Deirdre K. Mulligan |
| 2021 | Accounting for Model Uncertainty in Algorithmic Discrimination. Junaid Ali, Preethi Lahoti, Krishna P. Gummadi |
| 2021 | Age Bias in Emotion Detection: An Analysis of Facial Emotion Recognition Performance on Young, Middle-Aged, and Older Adults. Eugenia Kim, De'Aira Bryant, Deepak Srikanth, Ayanna M. Howard |
| 2021 | Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello |
| 2021 | Algorithmic Hiring in Practice: Recruiter and HR Professional's Perspectives on AI Use in Hiring. Lan Li, Tina Lassiter, JooHee Oh, Min Kyung Lee |
| 2021 | Alienation in the AI-Driven Workplace. Kate Vredenburgh |
| 2021 | An AI Ethics Course Highlighting Explicit Ethical Agents. Nancy L. Green |
| 2021 | Are AI Ethics Conferences Different and More Diverse Compared to Traditional Computer Science Conferences? Daniel E. Acuna, Lizhen Liang |
| 2021 | Artificial Intelligence and the Purpose of Social Systems. Sebastian Benthall, Jake Goldenfein |
| 2021 | Automating Procedurally Fair Feature Selection in Machine Learning. Clara Belitz, Lan Jiang, Nigel Bosch |
| 2021 | Becoming Good at AI for Good. Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres |
| 2021 | Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds. Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi, Alex 'Sandy' Pentland, Kush R. Varshney, Adrian Weller |
| 2021 | Blacklists and Redlists in the Chinese Social Credit System: Diversity, Flexibility, and Comprehensiveness. Severin Engelmann, Mo Chen, Lorenz Dang, Jens Grossklags |
| 2021 | Blind Justice: Algorithmically Masking Race in Charging Decisions. Alex Chohlas-Wood, Joe Nudell, Keniel Yao, Zhiyuan (Jerry) Lin, Julian Nyarko, Sharad Goel |
| 2021 | Can We Obtain Fairness For Free? Rashidul Islam, Shimei Pan, James R. Foulds |
| 2021 | Causal Multi-level Fairness. Vishwali Mhasawade, Rumi Chunara |
| 2021 | Causality in Neural Networks - An Extended Abstract. Abbavaram Gowtham Reddy |
| 2021 | Co-design and Ethical Artificial Intelligence for Health: Myths and Misconceptions. Joseph Donia, Jay Shaw |
| 2021 | Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market. David Solans, Francesco Fabbri, Caterina Calsamiglia, Carlos Castillo, Francesco Bonchi |
| 2021 | Computer Vision and Conflicting Values: Describing People with Automated Alt Text. Margot J. Hanley, Solon Barocas, Karen Levy, Shiri Azenkot, Helen Nissenbaum |
| 2021 | Computing Plans that Signal Normative Compliance. Alban Grastien, Claire Benn, Sylvie Thiébaux |
| 2021 | Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs. Solon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, W. Duncan Wadsworth, Hanna M. Wallach |
| 2021 | Designing Effective and Accessible Consumer Protections against Unfair Treatment in Markets where Automated Decision Making is used to Determine Access to Essential Services: A Case Study in Australia's Housing Market. Linda Przhedetsky |
| 2021 | Designing Shapelets for Interpretable Data-Agnostic Classification. Riccardo Guidotti, Anna Monreale |
| 2021 | Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases. Wei Guo, Aylin Caliskan |
| 2021 | Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation. Chris Waites, Rachel Cummings |
| 2021 | Digital Voodoo Dolls. Marija Slavkovik, Clemens Stachl, Caroline Pitman, Jonathan Askonas |
| 2021 | Disparate Impact of Artificial Intelligence Bias in Ridehailing Economy's Price Discrimination Algorithms. Akshat Pandey, Aylin Caliskan |
| 2021 | Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring. Tom Sühr, Sophie Hilgard, Himabindu Lakkaraju |
| 2021 | Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off Research. A. Feder Cooper, Ellen Abrams, Na Na |
| 2021 | Ensuring Fairness under Prior Probability Shifts. Arpita Biswas, Suvam Mukherjee |
| 2021 | Envisioning Communities: A Participatory Approach Towards AI for Social Good. Elizabeth Bondi, Lily Xu, Diana Acosta-Navas, Jackson A. Killian |
| 2021 | Epistemic Reasoning for Machine Ethics with Situation Calculus. Maurice Pagnucco, David Rajaratnam, Raynaldio Limarga, Abhaya Nayak, Yang Song |
| 2021 | Ethical Data Curation for AI: An Approach based on Feminist Epistemology and Critical Theories of Race. Susan Leavy, Eugenia Siapera, Barry O'Sullivan |
| 2021 | Ethical Implementation of Artificial Intelligence to Select Embryos in In Vitro Fertilization. Michael Anis Mihdi Afnan, Cynthia Rudin, Vincent Conitzer, Julian Savulescu, Abhishek Mishra, Yanhe Liu, Masoud Afnan |
| 2021 | Ethical Obligations to Provide Novelty. Paige Golden, David Danks |
| 2021 | Ethically Compliant Planning within Moral Communities. Samer B. Nashed, Justin Svegliato, Shlomo Zilberstein |
| 2021 | Examining Religion Bias in AI Text Generators. Deepa Muralidhar |
| 2021 | Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries. Patrick Gage Kelley, Yongwei Yang, Courtney Heldreth, Christopher Moessner, Aaron Sedley, Andreas Kramm, David T. Newman, Allison Woodruff |
| 2021 | Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental Study. Daniel Ben David, Yehezkel S. Resheff, Talia Tron |
| 2021 | Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition. Daniella Raz, Corinne Bintz, Vivian Guetler, Aaron Tam, Michael A. Katell, Dharma Dailey, Bernease Herman, P. M. Krafft, Meg Young |
| 2021 | FaiR-N: Fair and Robust Neural Networks for Structured Data. Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh |
| 2021 | Fair Bayesian Optimization. Valerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cédric Archambeau |
| 2021 | Fair Equality of Chances for Prediction-based Decisions. Michele Loi, Anders Herlitz, Hoda Heidari |
| 2021 | Fair Machine Learning Under Partial Compliance. Jessica Dai, Sina Fazelpour, Zachary C. Lipton |
| 2021 | FairOD: Fairness-aware Outlier Detection. Shubhranshu Shekhar, Neil Shah, Leman Akoglu |
| 2021 | Fairness and Data Protection Impact Assessments. Atoosa Kasirzadeh, Damian Clifford |
| 2021 | Fairness and Machine Fairness. Clinton Castro, David O'Brien, Ben Schwan |
| 2021 | Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed |
| 2021 | Fairness in the Eyes of the Data: Certifying Machine-Learning Models. Shahar Segal, Yossi Adi, Benny Pinkas, Carsten Baum, Chaya Ganesh, Joseph Keshet |
| 2021 | Feeding the Beast: Superintelligence, Corporate Capitalism and the End of Humanity. Dominic Leggett |
| 2021 | GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong |
| 2021 | Gender Bias and Under-Representation in Natural Language Processing Across Human Languages. Yan Chen, Christopher Mahoney, Isabella Grasso, Esma Wali, Abigail Matthews, Thomas Middleton, Mariama Njie, Jeanna N. Matthews |
| 2021 | Governing Algorithmic Systems with Impact Assessments: Six Observations. Elizabeth Anne Watkins, Emanuel Moss, Jacob Metcalf, Ranjit Singh, Madeleine Clare Elish |
| 2021 | Hard Choices and Hard Limits in Artificial Intelligence. Bryce Goodman |
| 2021 | How Do the Score Distributions of Subpopulations Influence Fairness Notions? Carmen Mazijn, Jan Danckaert, Vincent Ginis |
| 2021 | Learning to Generate Fair Clusters from Demonstrations. Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein |
| 2021 | Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development. Aspen K. Hopkins, Serena Booth |
| 2021 | Machine Learning and the Meaning of Equal Treatment. Joshua Simons, Sophia Adams Bhatti, Adrian Weller |
| 2021 | Measuring Automated Influence: Between Empirical Evidence and Ethical Values. Daniel Susser, Vincent Grimaldi |
| 2021 | Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics. Caitlin Kuhlman, Walter Gerych, Elke A. Rundensteiner |
| 2021 | Measuring Lay Reactions to Personal Data Markets. Aileen Nielsen |
| 2021 | Measuring Model Biases in the Absence of Ground Truth. Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell |
| 2021 | Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel |
| 2021 | Minimax Group Fairness: Algorithms and Experiments. Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth |
| 2021 | Modeling and Guiding the Creation of Ethical Human-AI Teams. Christopher Flathmann, Beau G. Schelble, Rui Zhang, Nathan J. McNeese |
| 2021 | Monitoring AI Services for Misuse. Seyyed Ahmad Javadi, Chris Norval, Richard Cloete, Jatinder Singh |
| 2021 | Moral Disagreement and Artificial Intelligence. Pamela Robinson |
| 2021 | More Similar Values, More Trust? - the Effect of Value Similarity on Trust in Human-Agent Interaction. Siddharth Mehrotra, Catholijn M. Jonker, Myrthe L. Tielman |
| 2021 | On the Privacy Risks of Model Explanations. Reza Shokri, Martin Strobel, Yair Zick |
| 2021 | On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes. Riccardo Fogliato, Alice Xiang, Zachary C. Lipton, Daniel Nagin, Alexandra Chouldechova |
| 2021 | Participatory Algorithmic Management: Elicitation Methods for Worker Well-Being Models. Min Kyung Lee, Ishan Nigam, Angie Zhang, Joel Afriyie, Zhizhen Qin, Sicun Gao |
| 2021 | Persistent Anti-Muslim Bias in Large Language Models. Abubakar Abid, Maheen Farooqi, James Zou |
| 2021 | Person, Human, Neither: The Dehumanization Potential of Automated Image Tagging. Pinar Barlas, Kyriakos Kyriakou, Styliani Kleanthous, Jahna Otterbacher |
| 2021 | Platform Power and AI: The Case of Content. Seth Lazar, Taina Bucher, Aleksandra Korolova, Cailin O'Connor, Nicolas Suzor |
| 2021 | Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability. Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian |
| 2021 | Quantum Fair Machine Learning. Elija Perrier |
| 2021 | RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld |
| 2021 | Rawlsian Fair Adaptation of Deep Learning Classifiers. Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya |
| 2021 | Reconfiguring Diversity and Inclusion for AI Ethics. Nicole Chi, Emma Lurie, Deirdre K. Mulligan |
| 2021 | Reflexive Design for Fairness and Other Human Values in Formal Models. Benjamin Fish, Luke Stark |
| 2021 | RelEx: A Model-Agnostic Relational Model Explainer. Yue Zhang, David DeFazio, Arti Ramesh |
| 2021 | Risk Identification Questionnaire for Detecting Unintended Bias in the Machine Learning Development Lifecycle. Michelle Seng Ah Lee, Jatinder Singh |
| 2021 | Scaling Guarantees for Nearest Counterfactual Explanations. Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera |
| 2021 | Situated Accountability: Ethical Principles, Certification Standards, and Explanation Methods in Applied AI. Anne Henriksen, Simon Aagaard Enni, Anja Bechmann |
| 2021 | Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferences. Remco Zwetsloot, Baobao Zhang, Noemi Dreksler, Lauren Kahn, Markus Anderljung, Allan Dafoe, Michael C. Horowitz |
| 2021 | Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data. Hao Sheng, Keniel Yao, Sharad Goel |
| 2021 | The Coloniality of Data Work in Latin America. Julian Posada |
| 2021 | The Dangers of Drowsiness Detection: Differential Performance, Downstream Impact, and Misuses. Jakub Grzelak, Martim Brandao |
| 2021 | The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media. Claire R. Leibowicz, Sean McGregor, Aviv Ovadya |
| 2021 | The Earth Is Flat and the Sun Is Not a Star: The Susceptibility of GPT-2 to Universal Adversarial Triggers. Hunter Scott Heidenreich, Jake Ryland Williams |
| 2021 | The Ethical Gravity Thesis: Marrian Levels and the Persistence of Bias in Automated Decision-making Systems. Atoosa Kasirzadeh, Colin Klein |
| 2021 | The Ethics of Datasets: Moving Forward Requires Stepping Back. Arvind Narayanan |
| 2021 | The Grey Hoodie Project: Big Tobacco, Big Tech, and the Threat on Academic Integrity. Mohamed Abdalla, Moustafa Abdalla |
| 2021 | The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations. Laura Schelenz, Ivano Bison, Matteo Busso, Amalia de Götzen, Daniel Gatica-Perez, Fausto Giunchiglia, Lakmal Meegahapola, Salvador Ruiz-Correa |
| 2021 | To Scale: The Universalist and Imperialist Narrative of Big Tech. Jessica de Jesus de Pinho Pinhal |
| 2021 | Towards Accountability in the Use of Artificial Intelligence for Public Administrations. Michele Loi, Matthias Spielkamp |
| 2021 | Towards Equity and Algorithmic Fairness in Student Grade Prediction. Weijie Jiang, Zachary A. Pardos |
| 2021 | Towards Unbiased and Accurate Deferral to Multiple Experts. Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi |
| 2021 | Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma |
| 2021 | Training for Implicit Norms in Deep Reinforcement Learning Agents through Adversarial Multi-Objective Reward Optimization. Markus Peschl |
| 2021 | Trustworthy AI for the People? Clàudia Figueras, Harko Verhagen, Teresa Cerratto-Pargman |
| 2021 | Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. Umang Bhatt, Javier Antorán, Yunfeng Zhang, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Madhulika Srikumar, Adrian Weller, Alice Xiang |
| 2021 | Understanding the Representation and Representativeness of Age in AI Data Sets. Joon Sung Park, Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris |
| 2021 | Unpacking the Expressed Consequences of AI Research in Broader Impact Statements. Priyanka Nanayakkara, Jessica Hullman, Nicholas Diakopoulos |
| 2021 | We Haven't Gone Paperless Yet: Why the Printing Press Can Help Us Understand Data and AI. Julian Posada, Nicholas Weller, Wendy H. Wong |
| 2021 | What's Fair about Individual Fairness? Will Fleisher |
| 2021 | Who Gets What, According to Whom? An Analysis of Fairness Perceptions in Service Allocation. Jacqueline Hannan, Huei-Yen Winnie Chen, Kenneth Joseph |
| 2021 | Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data. Gal Yona, Amirata Ghorbani, James Zou |